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Contact

Technical Skills

Highly Skilled & Experienced

Experience With & Learning

Note

Feel free to get in touch for further information on experience and projects prior to 2020.

More Info

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Source code: github.com/conormjhiggins/cv.

Last updated on 2026-02-22.

Main

Conor Higgins

Senior Analytics Engineer with 5+ years of experience designing, building and owning data pipelines at scale. At Deliveroo I specialise in end-to-end pipeline development, from raw ingestion through to production data models and dashboards trusted by commercial and science stakeholders. I combine deep technical expertise across Snowflake, Python and Prefect with strong cross-functional relationships and full domain ownership. Passionate about sport and data, with a Masters dissertation in Bayesian modelling of Premier League football outcomes.

Education

MSc Statistics

Lancaster

Lancaster University

2019 - 2018

BSc Mathematics with Statistics

Lancaster

Lancaster University

2018 - 2015

  • Strong quantitative foundation in statistics, probability and mathematical modelling; minor in Chemistry.

Experience

Senior Analytics Engineer

Remote

Deliveroo

Current - 2025

  • Built and owned the Selection Intelligence platform end-to-end, a Snowflake and Python system ingesting ML pipeline outputs to map the global merchant universe across all Deliveroo markets, predict monthly merchant revenue, and surface high-value sales leads for the commercial sales team.
  • Reduced entire data pipeline runtime from over 4 hours to under 2 hours through systematic refactoring of hundreds of models and scripts, full mart modelling of the team’s domain, and targeted Snowflake cost and performance optimisations.
  • Lead AI tooling onboarding and upskilling for the Analytics Engineering function; run weekly office hours for analysts and commercial stakeholders; serve as escalation on-call engineer for major data incidents.

Analytics Engineer

London

Deliveroo

2025 - 2022

  • Served as lead Analytics Engineer for the restaurant domain, taking full ownership of the data infrastructure including ELT pipelines, dimensional models and the reporting layer powering daily commercial decision-making across all Deliveroo markets.
  • Drove cross-functional partnerships with Commercial, Science and Product teams, maintaining data powering Deliveroo’s most critical Looker dashboards used daily by senior stakeholders.
  • Designed and maintained complex ELT pipelines using Snowflake and Python; developed deep on-call experience supporting platform reliability at scale.

Analytics Engineer

London

DAZN

2022 - 2020

  • Designed and built a full payments data warehouse from the ground up using Snowflake, SQL and Airflow, enabling reporting on Invoices, Transactions and Involuntary Churn for a global streaming platform.
  • Built and maintained scalable ELT pipelines using dbt, Airflow and Python; partnered with PMs and stakeholders to deliver data-led insights informing key product and commercial decisions.
  • Contributed across Analytics Engineering and Data Science workstreams, building expertise in modern data stack tooling and large-scale dimensional modelling.